Ecosystem indicators linked to management objectives (DePiper, et al., 2017)
Open science emphasis (Bastille, et al., 2020)
Used within Mid-Atlantic Fishery Management Council's Ecosystem Process (Muffley, et al., 2020)
The IEA Loop1
Objective Categories | Indicators reported here |
---|---|
Provisioning and Cultural Services | |
Seafood Production | Landings; commercial total and by feeding guild; recreational harvest |
Profits | Revenue decomposed to price and volume |
Recreation | Days fished; recreational fleet diversity |
Stability | Diversity indices (fishery and ecosystem) |
Social & Cultural | Community engagement/reliance status |
Protected Species | Bycatch; population (adult and juvenile) numbers, mortalities |
Supporting and Regulating Services | |
Biomass | Biomass or abundance by feeding guild from surveys |
Productivity | Condition and recruitment of managed species, Primary productivity |
Trophic structure | Relative biomass of feeding guilds, Zooplankton |
Habitat | Estuarine and offshore habitat conditions |
Request | Year | Source | Progress | Memo Section |
---|---|---|---|---|
Report card and summary visualizations | 2019 | Both Councils | SOE new report card table and summary visualizaitions of synthesis themes | 1 |
Ecosystem Overfishing indicators (Link and Watson, 2019) | 2020 | Both Councils | SOE two ecosystem overfishing indicators included | 2 |
Primary production required, interpretation of decline? | 2020 | Both Councils | SOE indicator reworked along with Link and Watson metrics | 3 |
Climate Change context | 2020 | NEFMC | SOE reorganized; Risks section added emphasizing climate change | 4 |
Clarify language (e.g., primary production required) | 2020 | Both Councils | SOE edited by Research Communications Branch; glossary included | 5 |
Copy Editing | 2020 | Both Councils | SOE edited by Research Communications Branch | 6 |
Ocean Acidification | 2020 | NEFMC | SOE indicator added with in-situ data linked to preliminary lab work on thresholds | 7 |
Include examples of High/Low engaged ports | 2020 | NEFMC | SOE indicator reworked to show individual ports and social vulnerability | 8 |
Expand wind lease area and habitat overlap | 2020 | MAFMC | SOE indicator expanded to rank species with habitat in wind lease areas by landings in wind lease areas | 9 |
Expand cold pool index | 2020 | MAFMC | SOE indicator expanded with modeled data to include area and other attributes | 10 |
Seperate Bigelow/Albatross catch diversity metric | 2020 | MAFMC | SOE indicator added | 11 |
Shark abundance and catch indicators | 2020 | MAFMC | SOE multiple shark indicators added | 12 |
Uncertainty estimates | 2020 | MAFMC | SOE included for subset of indicators | 13 |
Bycatch index | 2020 | NEFMC | SOE added seal bycatch indicator, retained harbor porpoise indicator | 14 |
Marine Mammal consumption | 2019 | MAFMC | SOE added discussion of seal diets, memo no new consumption ests since Smith et al but could be in the future once work is complete | 15 |
Estuarine Water Quality | 2020 | NEFMC | SOE Chesapeake indicators updated and expanded | 16 |
Forage abundance | 2019 | MAFMC | SOE forage anomaly indicator added | 17 |
Linking Condition | 2020 | MAFMC | in progress; not ready for 2021 | 18 |
Avg weight of diet components by feeding group | 2019 | Internal | in progress; part of fish condition | 19 |
Mean stomach weight across feeding guilds | 2019 | MAFMC | in progress; stomach fullness analysis started--species level | 20 |
Shellfish growth/distribution linked to climate (system productivity) | 2019 | MAFMC | in progress; project with R Mann student to start 2021 | 21 |
Cumulative weather index | 2020 | MAFMC | in progress; data gathered for prototype | 22 |
Management complexity | 2019 | MAFMC | in progress; student work needs further analysis, no further work in 2020 | 23 |
VAST and uncertainty | 2020 | Both Councils | in progress; not ready for 2021 | 24 |
Seal index | 2020 | MAFMC | in progress; not ready for 2021 | 25 |
Incorporate social sciences survey from council | 2020 | NEFMC | unable to start in 2020 | 26 |
Young of Year index from multiple surveys | 2019 | MAFMC | unable to start in 2020 | 27 |
Biomass of spp not included in BTS | 2020 | MAFMC | unable to start in 2020 | 28 |
Estuarine condition relative to power plants and temp | 2019 | MAFMC | unable to start in 2020 | 29 |
Inflection points for indicators | 2019 | Both Councils | unable to start in 2020 | 30 |
Reduce indicator dimensionality with multivariate statistics | 2020 | NEFMC | unable to start in 2020 | 31 |
Breakpoints | 2020 | NEFMC | unable to start in 2020 | 32 |
Re-evaluate EPUs | 2020 | NEFMC | unable to start in 2020 | 33 |
Characterizing ecosystem change for fishery management
Spatial scale
A glossary of terms (Memo 5), detailed technical methods documentation and indicator data are available online.
Key to figures
Trends assessed only for 30+ years: more information
Orange line = significant increase
Purple line = significant decrease
No color line = not significant or < 30 yearsGrey background = last 10 years
Indicators: Commercial and recreational landings
Key: Black = Landings of all species combined;
Red = Landings of MAFMC managed species
Multiple drivers: ecosystem and stock production, management, market conditions, and environment
Is biomass driving?
Key: Black = NEFSC survey;
Red = NEAMAP survey
Key:
Orange background = Tipping point overfishing threshold, Link and Watson 2019
Green background = Optimal range, Link and Watson 2019
Key: Black = Landings of all species combined;
Red = Landings of MAFMC managed species
Drivers:
market dynamics affecting commercial landings of surfclams and ocean quahogs
other drivers affecting recreational landings: shark fishery management, possibly survey methodology
Monitor:
Because ecosystem overfishing seems unlikely, stock status is mostly acceptable, and aggregate biomass trends appear stable, the decline in commercial landings is most likely driven by market dynamics affecting the landings of surfclams and ocean quahogs, as quotas are not binding for these species.
Climate change also seems to be shifting the distribution of surfclams and ocean quahogs, resulting in areas with overlapping distributions and increased mixed landings. Given the regulations governing mixed landings, this could become problematic in the future and is currently being evaluated by the Council.
Indicator: Commercial Revenue
Key: Black = Revenue of all species combined;
Red = Revenue of MAFMC managed species
Indicator: Bennet--price and volume indices
Recent declines in prices contributed to falling revenue as quantities landed did not increase enough to counteract declining prices.
Indicators: Recreational effort and fleet diversity
Implications
Decline in recreational fleet diversity suggests a potentially reduced range of opportunities.
Driven by party/charter contraction (from a high of 24% of angler trips to 7% currently), and a shift toward shorebased angling.
Absence of a long-term trend in recreational effort suggests relative stability in the overall number of recreational opportunities in the MAB.
Memo 22-23, Cumulative weather index and management complexity drivers under construction
Changes in recreational fleet diversity can be considered when managers seek options to maintain recreational opportunities. Shore anglers will have access to different species than vessel-based anglers, and when the same species, typically smaller fish. Many states have developed shore-based regulations where the minimum size is lower than in other areas and sectors to maintain opportunities in the shore angling sector.
Fishery Indicators: Commercial fleet count, fleet diversity
Fishery Indicators: commerical species revenue diversity, recreational species catch diversity
Ecological Indicators: zooplankton and larval fish diversity
Ecological Indicator: expected number of species, NEFSC bottom trawl survey (Memo 11)
Implications:
While larval and adult fish diversity indices are stable, a few warm-southern larval species are becoming more dominant. Increasing zooplankton diversity is driven by declining dominance of an important species, which warrants continued monitoring.
Indicators: Social vulnerability, fishery engagement and reliance
Mid-Atlantic recreational fishing communities
Mid-Atlantic commercial fishing communities
Implications: Highlighted communities may be vulnerable to changes in fishing patterns due to regulations and/or climate change. When any of these communities are also experiencing social vulnerability, they may have lower ability to successfully respond to change. These indicators may also point to communities that are vulnerable to environmental justice issues.
Indicators: Harbor porpoise and gray seal bycatch (Memo 14)
Implications:
Currently meeting objectives
The downward trend in harbor porpoise bycatch can also be due to a decrease in harbor porpoise abundance in US waters, reducing their overlap with fisheries, and a decrease in gillnet effort.
The increasing trend in gray seal bycatch may be related to an increase in the gray seal population (U.S. pup counts).
Indicators: North Atlantic right whale population, calf counts
Implications:
Population drivers for North Atlantic Right Whales (NARW) include combined fishery interactions/ship strikes, distribution shifts, and copepod availability.
Unusual mortality events continue for 3 large whale species, harbor and gray seals.
Indicators: ocean currents, bottom and surface temperature, marine heatwaves
A marine heatwave is a warming event that lasts for five or more days with sea surface temperatures above the 90th percentile of the historical daily climatology (1982-2011).
Indicators: Estuarine conditions (Memo 16), Chesapeake Bay
Indicator: cold pool area (Memo 10)
Indicator: acidification (Memo 7)
Indicators: primary production, zooplankton
Implications: increased production by smaller phytoplankton implies less efficient transfer of primary production to higher trophic levels. Monitor implications of increasing gelatinous zooplankton and krill.
Increased temperatures, as reported above, can increase the rate of photosynthesis by phytoplankton (i.e. primary productivity). Annual primary production has increased over time, primarily driven by increased productivity in the summer months.
Larger zooplankton (i.e. Calanus finmarchicus) had above average abundance in 2018-2019, while smaller-bodied copepods were near or below average.
Indicators: plankton-based forage anomaly and forage fish energy content (Memo 17)
Implications: fluctuating environmental conditions and prey for forage species affect both abundance and energy content. Energy content varies by season, and has changed over time most dramatically for Atlantic herring
Indicators: fish condition (Memo 18)
Preliminary results:
See memo for preliminary results These relationships can potentially provide insights on which species may be more vulnerable to environmental changes such as climate change, as well as what biomass changes may be expected from certain species given current environmental conditions
Indicators: distribution shifts (slide 7), diversity (slide 16), predators (Memo 12, 15, 25)
No trend in aggregate sharks
Gray seals increasing
Implications: stable predator populations suggest stable predation pressure on managed species, but increasing predator populations may reflect increasing predation pressure.
A survey conducted in 2021 in both countries will provide updated estimates of abundance.
Indicators: climate sensitive species life stages mapped to climate vulnerable habitats
See EAFM risk assessment for example species narratives
Multiple drivers with different impacts by species
Chesapeake Bay warm winter, low freshwater flow
Ocean acidification impact on shellfish growth
Shifting species distributions alter both species interactions and fishery interactions. In particular, shifting species distributions can alter expected management outcomes from spatial allocations and bycatch measures based on historical fish and protected species distributions.
Indicators: development timeline, revenue in lease areas, survey overlap (full map)
Implications:
Current plans for rapid buildout of offshore wind in a patchwork of areas spreads the impacts differentially throughout the region
2-24% of total average revenue for major Mid-Atlantic commerical species in lease areas could be displaced if all sites are developed. Displaced fishing effort can alter fishing methods, which can in turn change habitat, species (managed and protected), and fleet interactions.
Right whales may be displaced, and altered local oceanography could affect distribution of their zooplankton prey.
Scientific data collection surveys for ocean and ecosystem conditions, fish, and protected species will be altered, potentially increasing uncertainty for management decision making.
Species level risk elements
Species | Assess | Fstatus | Bstatus | FW1Pred | FW1Prey | FW2Prey | Climate | DistShift | EstHabitat |
---|---|---|---|---|---|---|---|---|---|
Ocean Quahog | lowest | lowest | lowest | lowest | lowest | lowest | highest | modhigh | lowest |
Surfclam | lowest | lowest | lowest | lowest | lowest | lowest | modhigh | modhigh | lowest |
Summer flounder | lowest | lowest | lowmod | lowest | lowest | lowest | lowmod | modhigh | highest |
Scup | lowest | lowest | lowest | lowest | lowest | lowest | lowmod | modhigh | highest |
Black sea bass | lowest | lowest | lowest | lowest | lowest | lowest | modhigh | modhigh | highest |
Atl. mackerel | lowest | highest | highest | lowest | lowest | lowest | lowmod | modhigh | lowest |
Butterfish | lowest | lowest | lowmod | lowest | lowest | lowest | lowest | highest | lowest |
Longfin squid | lowmod | lowmod | lowmod | lowest | lowest | lowmod | lowest | modhigh | lowest |
Shortfin squid | lowmod | lowmod | lowmod | lowest | lowest | lowmod | lowest | highest | lowest |
Golden tilefish | lowest | lowest | lowmod | lowest | lowest | lowest | modhigh | lowest | lowest |
Blueline tilefish | highest | highest | modhigh | lowest | lowest | lowest | modhigh | lowest | lowest |
Bluefish | lowest | lowest | highest | lowest | lowest | lowest | lowest | modhigh | highest |
Spiny dogfish | lowmod | lowest | lowmod | lowest | lowest | lowest | lowest | highest | lowest |
Monkfish | highest | lowmod | lowmod | lowest | lowest | lowest | lowest | modhigh | lowest |
Unmanaged forage | na | na | na | lowest | lowmod | lowmod | na | na | na |
Deepsea corals | na | na | na | lowest | lowest | lowest | na | na | na |
Ecosystem level risk elements
System | EcoProd | CommRev | RecVal | FishRes1 | FishRes4 | FleetDiv | Social | ComFood | RecFood |
---|---|---|---|---|---|---|---|---|---|
Mid-Atlantic | lowmod | modhigh | highest | lowest | modhigh | lowest | lowmod | highest | modhigh |
Species and Sector level risk elements
Species | MgtControl | TecInteract | OceanUse | RegComplex | Discards | Allocation |
---|---|---|---|---|---|---|
Ocean Quahog-C | lowest | lowest | lowmod | lowest | modhigh | lowest |
Surfclam-C | lowest | lowest | lowmod | lowest | modhigh | lowest |
Summer flounder-R | modhigh | lowest | lowmod | modhigh | highest | highest |
Summer flounder-C | lowmod | modhigh | lowmod | modhigh | modhigh | highest |
Scup-R | lowmod | lowest | lowmod | modhigh | modhigh | highest |
Scup-C | lowest | lowmod | modhigh | modhigh | modhigh | highest |
Black sea bass-R | highest | lowest | modhigh | modhigh | highest | highest |
Black sea bass-C | highest | lowmod | highest | modhigh | highest | highest |
Atl. mackerel-R | lowmod | lowest | lowest | lowest | lowest | lowest |
Atl. mackerel-C | lowest | lowmod | modhigh | highest | lowmod | highest |
Butterfish-C | lowest | lowmod | modhigh | highest | modhigh | lowest |
Longfin squid-C | lowest | modhigh | highest | highest | highest | lowest |
Shortfin squid-C | lowmod | lowmod | lowmod | lowmod | lowest | lowest |
Golden tilefish-R | na | lowest | lowest | lowest | lowest | lowest |
Golden tilefish-C | lowest | lowest | lowest | lowest | lowest | lowest |
Blueline tilefish-R | lowest | lowest | lowest | modhigh | lowest | highest |
Blueline tilefish-C | lowest | lowest | lowest | modhigh | lowest | highest |
Bluefish-R | lowmod | lowest | lowest | lowmod | modhigh | highest |
Bluefish-C | lowest | lowest | lowmod | lowmod | lowmod | highest |
Spiny dogfish-R | lowest | lowest | lowest | lowest | lowest | lowest |
Spiny dogfish-C | lowest | modhigh | modhigh | modhigh | lowmod | lowest |
Chub mackerel-C | lowest | lowmod | lowmod | lowmod | lowest | lowest |
Unmanaged forage | lowest | lowest | modhigh | lowest | lowest | lowest |
Deepsea corals | na | na | modhigh | na | na | na |
Changes: Butterfish B status risk increased from lowest to low-mod (below Bmsy) Allocation risk decreased for 4 fisheries from high to low (intermediate rankings not applied) Black sea bass regulatory complexity risk decreased from highest to moderate-high
Potential new indicators from new SOE sections on climate risk, habitat vulnerability, offshore wind
Habitat vulnerability analysis writeups--comments?
The New England and Mid-Atlantic SOEs made possible by (at least) 52 contributors from 10 institutions
Andy Beet
Kimberly Bastille
Ruth Boettcher (Virginia Department of Game and Inland Fisheries)
Mandy Bromilow (NOAA Chesapeake Bay Office)
Zhuomin Chen (Woods Hole Oceanographic Institute)
Joseph Caracappa
Doug Christel (GARFO)
Patricia Clay
Lisa Colburn
Jennifer Cudney (NMFS Atlantic HMS Management Division)
Tobey Curtis (NMFS Atlantic HMS Management Division)
Geret DePiper
Emily Farr (NMFS Office of Habitat Conservation)
Michael Fogarty
Paula Fratantoni
Kevin Friedland
Sarah Gaichas
Ben Galuardi (GARFO)
Avijit Gangopadhyay (School for Marine Science and Technology, University of Massachusetts Dartmouth)
James Gartland (Virginia Institute of Marine Science)
Glen Gawarkiewicz (Woods Hole Oceanographic Institution)
Sean Hardison
Kimberly Hyde
John Kosik
Steve Kress (National Audubon Society’s Seabird Restoration Program)
Young-Oh Kwon (Woods Hole Oceanographic Institute)
Scott Large
Andrew Lipsky
Sean Lucey
Don Lyons (National Audubon Society’s Seabird Restoration Program)
Chris Melrose
Shannon Meseck
Ryan Morse
Kimberly Murray
Chris Orphanides
Richard Pace
Charles Perretti
CJ Pellerin (NOAA Chesapeake Bay Office)
Grace Roskar (NMFS Office of Habitat Conservation)
Grace Saba (Rutgers)
Vincent Saba
Chris Schillaci (GARFO)
Angela Silva
Emily Slesinger (Rutgers University)
Laurel Smith
Talya tenBrink (GARFO)
Bruce Vogt (NOAA Chesapeake Bay Office)
Ron Vogel (UMD Cooperative Institute for Satellite Earth System Studies and NOAA/NESDIS Center for Satellite Applications and Research)
John Walden
Harvey Walsh
Changhua Weng
Mark Wuenschel
Bastille, K. et al. (2020). "Improving the IEA Approach Using Principles of Open Data Science". In: Coastal Management 0.0. Publisher: Taylor & Francis _ eprint: https://doi.org/10.1080/08920753.2021.1846155, pp. 1-18. ISSN: 0892-0753. DOI: 10.1080/08920753.2021.1846155. URL: https://doi.org/10.1080/08920753.2021.1846155 (visited on Dec. 09, 2020).
DePiper, G. S. et al. (2017). "Operationalizing integrated ecosystem assessments within a multidisciplinary team: lessons learned from a worked example". En. In: ICES Journal of Marine Science 74.8, pp. 2076-2086. ISSN: 1054-3139. DOI: 10.1093/icesjms/fsx038. URL: https://academic.oup.com/icesjms/article/74/8/2076/3094701 (visited on Mar. 09, 2018).
Muffley, B. et al. (2020). "There Is no I in EAFM Adapting Integrated Ecosystem Assessment for Mid-Atlantic Fisheries Management". In: Coastal Management 0.0. Publisher: Taylor & Francis _ eprint: https://doi.org/10.1080/08920753.2021.1846156, pp. 1-17. ISSN: 0892-0753. DOI: 10.1080/08920753.2021.1846156. URL: https://doi.org/10.1080/08920753.2021.1846156 (visited on Dec. 09, 2020).
SOE has been like an annual benchmark with new data and structure... hold pattern for a few years?
Ecosystem indicators linked to management objectives (DePiper, et al., 2017)
Open science emphasis (Bastille, et al., 2020)
Used within Mid-Atlantic Fishery Management Council's Ecosystem Process (Muffley, et al., 2020)
The IEA Loop1
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